PR-OWL Decision: Toward Reusable Ontology Language for Decision Making under Uncertainty

Shou Matsumoto, Kathryn B Laskey, Paulo Costa

Abstract: Decision making is a big topic in Intelligence, Defense, and Security fields. However, very little work can be found in the literature about ontology languages that simultaneously support decision making under uncertainty, abstractions/generalizations with first-order expressiveness, and forward/backward compatibility with OWL-a standard language for ontologies. This work proposes PROWL Decision, a language which extends PROWL an extension of OWL to support uncertainty-to support first-order expressiveness, decision making under uncertainty, and backward/forward compatibility with OWL and PROWL.